"""
# -*- coding: utf-8 -*-
# @Time    : 2023/5/24 20:02
# @Author  : 王摇摆
# @FileName: Data.py
# @Software: PyCharm
# @Blog    ：https://blog.csdn.net/weixin_44943389?type=blog
"""
import random
import numpy as np

m = 10000  # m = 10000：设置训练数据集的大小为10000。
d = 200  # 设置每个数据点的维度为200。
k = 50

trains = np.zeros((m, d))
for i in range(m):
    trains[i] = np.array([random.gauss(0, 1) for z in range(d)])
test = np.array([random.gauss(0, 1) for z in range(d)])

print(trains.shape)
print('ANN数据集已生成完毕！')
